A set of principles, standards, and practices, which
aid in managing AI usage in organizations, is Artificial Intelligence (AI)
governance. Artificial Intelligence Governance (AIG) is an underdeveloped area
of research. The AIG is an emerging but significantly underdeveloped area,
while there is significant literature emerging on numerous aspects of AI. Also,
no study explicitly examined the influence of AI Governance Frameworks (GF) of
India, Singapore, along with the Philippines on democratic accountability in
the public sector adoption. This study
addresses this gap by adopting a mixed-method design and collecting secondary
sources of data. The study’s findings show that Singapore's AI readiness
ratings exceed those of either India or the Philippines. Further, Singapore
experiences a high level of AI adoption in its public sector. Moreover, AI
adoption improves the public sector Service Delivery (SD) through the increase
in the accuracy rate and satisfaction of citizens with the particular service.
The challenges related to AI adoption in government systems are algorithmic
bias as well as fairness, transparency as well as explainability, data privacy
and surveillance, institutional capacity gaps, and regulatory fragmentation.
